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MySQL data reshaping: column expansion
When table data needs to be reshaped, column unpivoting becomes necessary. This technique converts columns into rows, providing a more flexible data representation. Although MySQL does not provide an explicit expansion function, we can achieve the same effect through clever query construction.
Method 1: Use UNION ALL to query
One way is to use a UNION ALL query, which appends the results of multiple SELECT statements together. In this example, we create a separate SELECT statement for each column that needs to be expanded:
<code class="language-sql">select id, 'a' col, a value from yourtable union all select id, 'b' col, b value from yourtable union all select id, 'c' col, c value from yourtable</code>
This query builds a new table where each row represents a column value pair. The resulting table will have the following layout:
ID | col | value |
---|---|---|
1 | a | a1 |
1 | b | b1 |
1 | c | c1 |
2 | a | a2 |
2 | b | b2 |
2 | c | c2 |
Method 2: Use CROSS JOIN
Another approach is to use CROSS JOIN, which generates a Cartesian product of multiple tables. Combining yourtable with a table containing column names we can achieve the following:
<code class="language-sql">select t.id, c.col, case c.col when 'a' then a when 'b' then b when 'c' then c end as data from yourtable t cross join ( select 'a' as col union all select 'b' union all select 'c' ) c</code>
This query produces the same output as the UNION ALL query, giving us a flexible data representation for further analysis or data manipulation.
By implementing these unfolding techniques in MySQL, you can effectively extract meaningful insights from your data by reshaping it into a more easily navigable format.
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